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Volumn , Issue , 2007, Pages 904-911

Data mining for effective risk analysis in a bank intelligence scenario

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MINING; RISK ANALYSIS; RISK ASSESSMENT; SAFETY FACTOR; SEARCH ENGINES; TECHNOLOGY;

EID: 48349085119     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2007.4401083     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 6
    • 0037547097 scopus 로고    scopus 로고
    • Approximate string joins in a database (almost) for free
    • L. Gravano et al. Approximate string joins in a database (almost) for free. In Proc. 27th Int. Conf. on Very Large Data Bases, pages 518-529, 2001.
    • (2001) Proc. 27th Int. Conf. on Very Large Data Bases , pp. 518-529
    • Gravano, L.1
  • 7
    • 0013331361 scopus 로고    scopus 로고
    • Real-world data is dirty: Data cleansing and the merge/purge problem
    • M. A. Hernández and S. J. Stolfo. Real-world data is dirty: Data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery, 2(1):9-37, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.1 , pp. 9-37
    • Hernández, M.A.1    Stolfo, S.J.2
  • 9
    • 0035385366 scopus 로고    scopus 로고
    • A foundation for capturing and querying complex multidimensional data
    • T. B. Pedersen, C. S. Jensen, and C. E. Dyreson. A foundation for capturing and querying complex multidimensional data. Information Systems. 26(5):383-423, 2001.
    • (2001) Information Systems , vol.26 , Issue.5 , pp. 383-423
    • Pedersen, T.B.1    Jensen, C.S.2    Dyreson, C.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.